Forecasting the Implementation of Artificial Intelligence in Education Based on Pedagogical Futurology

The paper discusses the necessary changes in teacher training that are in demand due to the active implementation of artificial intelligence (AI) in universities of the Russian Federation. These changes are considered on the basis of pedagogical futurology. The comparative significance of AI implementation factors in education is traced, identified for entities responsible for the effective implementation of AI systems and with different levels of readiness for the designated innovations, including: people making decisions on modernizing interactions based on AI, people implementing methodological support and implementation of AI, as well as students that are undergoing training to develop programs and technologies in the field of AI in the near and distant future. The main problems of education development in this article are considered on the basis of the analysis of the obtained experimental data on the predicted expectations and achievable results associated with the use of AI and the transition from traditional algorithms and established scenarios of binary interaction in the educational process to the possible transfer of a significant number of analytical operations and educational functions from humans to digital agents. The article proposes systemic measures for the implementation of predictive activities of subjects of the educational process based on pedagogical futurology, taking into account the expectations of the use of artificial intelligence in education.